Dynamic customer groups are customer groups automatically generated by the system according to rules, and the customer system of dynamic customer groups will be automatically updated. For example, if a merchant sets up a dynamic customer group for American customers, then the newly added American customers every day, including visitors and customers in the customer channel, will be automatically added to this customer group as long as they are from the United States.
Common dynamic customer groups include store interest customers, store loyal customers, and store transaction customers.
Click the “Analysis Insights” command of the dynamic customer group to understand the customer life cycle, store keyword ranking, and store product ranking of the customer group.
Through this analysis, it is known that the new store needs to improve the link from interest to purchasing customers.
In addition, dynamic customer analysis has a wider range of applications. For example, you can focus on analyzing the interval between two visits to the store by “repeat purchase customers”, and whether the product categories of the two transactions are the same or related: you can also arbitrarily analyze the sources and search preferences of all customers in a certain customer group, so that you can market some products with high transaction rates to such users more quickly and efficiently.